Mutsuo Koyama
- Inorganic Chemistry top 10%
- Geochemistry and Petrology top 10%
- Atmospheric Science
- Pollution
- Environmental Chemistry
- Co-authors
- Toshiyuki MasuzawaTaitiro FujinagaMunetsugu KawashimaR. MatsushitaMikio NishidaShizuo TsunogaiShinichiro NorikiJ. Takada
- Topics
- Radioactive element chemistry and processing (10 papers)Chemical Synthesis and Characterization (6 papers)Nuclear Physics and Applications (5 papers)
In The Last Decade
Mutsuo Koyama
38 papers receiving 375 citations
Peers
Comparison fields: 5 of 78
- Inorganic Chemistry 87
- Geochemistry and Petrology 86
- Atmospheric Science 58
- Pollution 50
- Environmental Chemistry 47
Countries citing papers authored by Mutsuo Koyama
This map shows the geographic impact of Mutsuo Koyama's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mutsuo Koyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mutsuo Koyama more than expected).
Fields of papers citing papers by Mutsuo Koyama
This network shows the impact of papers produced by Mutsuo Koyama. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mutsuo Koyama. The network helps show where Mutsuo Koyama may publish in the future.
Co-authorship network of co-authors of Mutsuo Koyama
This figure shows the co-authorship network connecting the top 25 collaborators of Mutsuo Koyama. A scholar is included among the top collaborators of Mutsuo Koyama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mutsuo Koyama. Mutsuo Koyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 60 | |
| 3 | 1 | |
| 4 | Radioactivation Analysis of Calcareous Algae and Laminariales, and the Regularity of Distribution of Elements in the Organisms, from Bacteria to Mammals | 1 |
| 5 | 19 | |
| 6 | Generalized difference equation method for overlapping Gaussian peaks | 1 |
| 7 | Use of Neutron Spectrum Sensitive Monitors for Instrumental Neutron Activation Analysis (Commemoration Issue Dedicated to Professor Tsunenobu Shigematsu on the Occasion of his Retirement) | 10 |
| 8 | 37 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | 2 | |
| 14 | 0 | |
| 15 | The Formation and Structure of Phosphomolybdic Acids in Aqueous Solutions | 6 |
| 16 | 3 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 3 |
About Mutsuo Koyama
Mutsuo Koyama is a scholar working on Inorganic Chemistry, Industrial and Manufacturing Engineering and Radiation, having authored 40 papers that have together received 417 indexed citations. Recurring topics across this work include Radioactive element chemistry and processing (10 papers), Chemical Synthesis and Characterization (6 papers) and Nuclear Physics and Applications (5 papers). The work is most often cited by research in Geochemistry and Petrology (86 citations), Inorganic Chemistry (87 citations) and Electrochemistry (33 citations). Mutsuo Koyama has collaborated with scholars based in Japan, Poland and Russia. Frequent co-authors include Toshiyuki Masuzawa, Taitiro Fujinaga, Munetsugu Kawashima, R. Matsushita, Mikio Nishida, Shizuo Tsunogai, Shinichiro Noriki, J. Takada, Takejiro Takamatsu and Hiromu Sakurai. Their work appears in journals such as Analytical Chemistry, Coordination Chemistry Reviews and Geophysical Research Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.